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anonymous-egomonth/egomonth-dataset

EgoMonth Dataset Overview EgoMonth is a month-level egocentric video question-answering benchmark for evaluating long-term spatiotemporal memory in multimodal large language models. The dataset focuses on daily-life first-person videos and QA tasks that require temporal indexing, spatial grounding, multi-video reasoning, and long-horizon memory. This repository provides QA metadata, structured annotations, representative anonymized sample videos, and baseline… See the full description on the dataset page: https://huggingface.co/datasets/anonymous-egomonth/egomonth-dataset.

Author / organizationanonymous-egomonth
License (as declared)other
Downloads516 (as reported by Hugging Face)
Likes3
Created3 May 2026
Last updated at source30 July 2026
egocentricvideomultimodalreasoning
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